Instructions to use Andranik/TestQA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andranik/TestQA2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Andranik/TestQA2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Andranik/TestQA2") model = AutoModelForQuestionAnswering.from_pretrained("Andranik/TestQA2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de27bb7e27b067389c1e8da50661a63a83b6633f92c17e432a55faa6e68202f4
- Size of remote file:
- 1.34 GB
- SHA256:
- 6f0f54ddd199433139979a5558195eae62ada6d0591ce5a947ab26106eff6485
路
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